EURO 2025 Leeds
Abstract Submission

2712. Mass-Customized Multiobjective Optimization of Forest Management Decisions Using Open Data, Simulation and the DESDEO Software Framework

Invited abstract in session MB-51: Multiobjective optimization applications, stream Multiobjective and vector optimization.

Monday, 10:30-12:00
Room: Parkinson B22

Authors (first author is the speaker)

1. Vili Kärkkäinen
Department of Information Technology, University of Jyväskylä
2. Juho Roponen
Faculty of Information Technology, University of Jyvaskyla

Abstract

When making forest management decisions, forest owners must make compromises between conflicting objectives, like profit and climate effects. Forest management decisions are made on the level of individual forests. Because Finland has 600 000 forest owners, it is impossible to affect climate change without involving many of them, and presently there are no tools that easily provide forest owners information about climate impacts of their decisions. We are developing software that facilitates interactive multiobjective optimization of forest management decisions specific to each forest owner’s needs. Based on the forest’s registry ID, the software automatically procures the forest’s openly available data hosted by Finnish governmental organizations and uses the data to simulate the effects of different management options in the forest. The software then formulates a data-driven multiobjective optimization problem. The forest owner can interactively solve this problem with the help of DESDEO, the open-source software framework developed for interactive multiobjective optimization. DESDEO hosts different interactive methods, like the classification-based NIMBUS method. By applying the NIMBUS method, the forest owner can find their most preferred management decisions when balancing between economic and climatic objectives. Preliminary results show that forest owners are willing to be more climate-smart if they get information about the climate effects of their decisions.

Keywords

Status: accepted


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